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Showing content from https://pandas.pydata.org/docs/reference/api/pandas.api.extensions.ExtensionArray.astype.html below:

pandas.api.extensions.ExtensionArray.astype — pandas 2.3.1 documentation

ExtensionArray.astype(dtype, copy=True)[source]#

Cast to a NumPy array or ExtensionArray with ‘dtype’.

Parameters:

dtypestr or dtype

Typecode or data-type to which the array is cast.

copybool, default True

Whether to copy the data, even if not necessary. If False, a copy is made only if the old dtype does not match the new dtype.

Returns:

np.ndarray or pandas.api.extensions.ExtensionArray

An ExtensionArray if dtype is ExtensionDtype, otherwise a Numpy ndarray with dtype for its dtype.

Examples

>>> arr = pd.array([1, 2, 3])
>>> arr
<IntegerArray>
[1, 2, 3]
Length: 3, dtype: Int64

Casting to another ExtensionDtype returns an ExtensionArray:

>>> arr1 = arr.astype('Float64')
>>> arr1
<FloatingArray>
[1.0, 2.0, 3.0]
Length: 3, dtype: Float64
>>> arr1.dtype
Float64Dtype()

Otherwise, we will get a Numpy ndarray:

>>> arr2 = arr.astype('float64')
>>> arr2
array([1., 2., 3.])
>>> arr2.dtype
dtype('float64')

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